vocode-python VS prompt-engineering

Vocode || Engineering (multiple roles) || SF/Remote || Full-time/Contract || https://vocode.dev

Vocode–an open source library for building LLM applications you can talk to. (https://github.com/vocodedev/vocode-python)

Coqui also looks interesting.

https://github.com/coqui-ai/TTS

Support for it was recently added to vocode:

https://github.com/vocodedev/vocode-python/pull/56

Direct link to the code: https://github.com/vocodedev/vocode-python

Hey everyone! We are so grateful for the warm reception from our launch this week.

We're back with PrankGPT (origin story of Vocode), rebuilt using our library https://github.com/vocodedev/vocode-python

Source code for the backend is public and available on replit to check it out

Given that Vocode (realtime audio, llm, etc) came out a few days ago, could you speak to how yours compares to it?

https://github.com/vocodedev/vocode-python

It's a demo for their new open source library integrating several AI tools: https://github.com/vocodedev/vocode-python

DeepLearning.AI Prompt engineering Learn Prompting

For engineers in the context of prompt engineering, there are a few decent options, like ChatGPT Prompt Engineering for Developers - DeepLearning.AI for example. But it seems you didn't ask for that.

ChatGPT Prompt Engineering for Developers: https://www.deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers/

ChatGPT Prompt Engineering for Developers - DeepLearning.AI

Ideally, anyone interested in should take a course of prompt engineering to learn how to use assistant properly (for example here) as to make full use of the increased productivity.